AFQ: Automated Fiber Quantification

Tractography based on diffusion weighted MRI (dMRI) is used to find the major white matter fascicles (tracts) in the living human brain. The health of these tracts is an important factor underlying many cognitive and neurological disorders.

AFQ is a software package focused on automated delineation of the major fiber tracts in individual human brains, and quantification of the tissue properties within the tracts.

Tissue properties may vary systematically along each tract: different populations of axons enter and exit the tract, and disease can strike at local positions within the tract. Because of this, quantifying and understanding diffusion measures along each fiber tract (the tract profile) may reveal new insights into white matter development, function, and disease that are not obvious from mean measures of that tract ([Yeatman2012]).


Jason D Yeatman, Robert F Dougherty, Nathaniel J Myall, Brian A Wandell, Heidi M Feldman, “Tract profiles of white matter properties: automating fiber-tract quantification”, PloS One, 7: e49790


AFQ Tractometry Pipeline


> → Segmentation

→ Cleaning

→ Profiling

→ Visualization



Work on this software is supported through grant 1RF1MH121868-01 from the National Institutes for Mental Health / The BRAIN Initiative and by a grant from the Gordon & Betty Moore Foundation, and from the Alfred P. Sloan Foundation to the University of Washington eScience Institute, by a CRCNS grant (NIH R01EB027585) to Eleftherios Garyfallidis and to Ariel Rokem , and by an NSF grant (1551330) to Jason Yeatman.